A new strategy for tracking dynamics of proneural gene expression during embryonic neurogenesis in drosophila

Author(s):  
Shaobo Yang
2008 ◽  
Vol 237 (6) ◽  
pp. 1726-1735 ◽  
Author(s):  
Paola Zordan ◽  
Laura Croci ◽  
Richard Hawkes ◽  
G. Giacomo Consalez

Development ◽  
2002 ◽  
Vol 129 (14) ◽  
pp. 3393-3402 ◽  
Author(s):  
Kenneth M. Cadigan ◽  
Austin D. Jou ◽  
Roel Nusse

In the developing eye, wingless activity represses proneural gene expression (and thus interommatidial bristle formation) and positions the morphogenetic furrow by blocking its initiation in the dorsal and ventral regions of the presumptive eye. We provide evidence that wingless mediates both effects, at least in part, through repression of the basic helix-loop-helix protein Daughterless. daughterless is required for high proneural gene expression and furrow progression. Ectopic expression of wingless blocks Daughterless expression in the proneural clusters. This repression, and that of furrow progression, can be mimicked by an activated form of armadillo and blocked by a dominant negative form of pangolin/TCF. Placing daughterless under the control of a heterologous promoter blocks the ability of ectopic wingless to inhibit bristle formation and furrow progression. hedgehog and decapentapleigic could not rescue the wingless furrow progression block, indicating that wingless acts downstream of these genes. In contrast, Atonal and Scute, which are thought to heterodimerize with Daughterless to promote furrow progression and bristle formation, respectively, can block ectopic wingless action. These results are summarized in a model where daughterless is a major, but probably not the only, target of wingless action in the eye.


Development ◽  
1992 ◽  
Vol 114 (4) ◽  
pp. 939-946 ◽  
Author(s):  
J.B. Skeath ◽  
S.B. Carroll

The Drosophila embryonic central nervous system develops from sets of progenitor neuroblasts which segregate from the neuroectoderm during early embryogenesis. Cells within this region can follow either the neural or epidermal developmental pathway, a decision guided by two opposing classes of genes. The proneural genes, including the members of the achaete-scute complex (AS-C), promote neurogenesis, while the neurogenic genes prevent neurogenesis and facilitate epidermal development. To understand the role that proneural gene expression and regulation play in the choice between neurogenesis and epidermogenesis, we examined the temporal and spatial expression pattern of the achaete (ac) regulatory protein in normal and neurogenic mutant embryos. The ac protein is first expressed in a repeating pattern of four ectodermal cell clusters per hemisegment. Even though 5–7 cells initially express ac in each cluster, only one, the neuroblast, continues to express ac. The repression of ac in the remaining cells of the cluster requires zygotic neurogenic gene function. In embryos lacking any one of five genes, the restriction of ac expression to single cells does not occur; instead, all cells of each cluster continue to express ac, enlarge, delaminate and become neuroblasts. It appears that one key function of the neurogenic genes is to silence proneural gene expression within the nonsegregating cells of the initial ectodermal clusters, thereby permitting epidermal development.


2012 ◽  
Vol 23 (5) ◽  
pp. 521-532 ◽  
Author(s):  
Zhongping Yuan ◽  
Xilin Wu ◽  
Chao Liu ◽  
Genxing Xu ◽  
Zhiwei Wu

2019 ◽  
Vol 12 (S7) ◽  
Author(s):  
Jia Wen ◽  
Benika Hall ◽  
Xinghua Shi

Abstract Background Colon cancer is one of the common cancers in human. Although the number of annual cases has decreased drastically, prognostic screening and translational methods can be improved. Hence, it is critical to understand the molecular mechanisms of disease progression and prognosis. Results In this study, we develop a new strategy for integrating microRNA and gene expression profiles together with clinical information toward understanding the regulation of colon cancer. Particularly, we use this approach to identify microRNA and gene expression networks that are specific to certain pathological stages. To demonstrate the application of our method, we apply this approach to identify microRNA and gene interactions that are specific to pathological stages of colon cancer in The Cancer Genome Atlas (TCGA) datasets. Conclusions Our results show that there are significant differences in network connections between miRNAs and genes in different pathological stages of colon cancer. These findings point to a hypothesis that these networks signify different roles of microRNA and gene regulation in the pathogenesis and tumorigenesis of colon cancer.


Author(s):  
Liushu Jia ◽  
Bianhua Zhou ◽  
Hongwei Wang ◽  
Fan Yang ◽  
Guoyong Wang ◽  
...  

To explore the effect of Eimeria tenella infection on the cytokines gene expression and IgA production in the spleen of chickens, the morphological characteristics of the spleen were observed through optical and transmission electron microscopy. The IgA production was determined through immunohistochemistry. The mRNA expression levels of splenic cytokines were detected through real-time PCR. Compared to the control group, along with the infection of E. tenella, the splenic lymphocytes exhibited irregular and cracked membranes, mitochondria swelled even vacuolization, the IgA expression in spleen tissue was decreased by 55.57% (p lessthan 0.01). Likewise, the mRNA expression levels of IL-2 and IL-1â decreased by 40% (plessthan 0.01) and 43% p lessthan 0.05), respectively. By contrast, the IL-6, IFN-g and IL-10 levels increased by 158% (p lessthan 0.01), 464% (p lessthan 0.05) and 379% p lessthan 0.01), respectively. These results indicated that the spleen implement an important function in the antagonism of E. tenella, which suggest a new strategy to control coccidiosis by improving the peripheral immunity of chickens.


2013 ◽  
Vol 18 (8) ◽  
pp. 636-649 ◽  
Author(s):  
Takako Kikkawa ◽  
Takeshi Obayashi ◽  
Masanori Takahashi ◽  
Urara Fukuzaki-Dohi ◽  
Keiko Numayama-Tsuruta ◽  
...  

1995 ◽  
Vol 92 (23) ◽  
pp. 10501-10505 ◽  
Author(s):  
L. Garcia-Alonso ◽  
M. F. VanBerkum ◽  
G. Grenningloh ◽  
C. Schuster ◽  
C. S. Goodman

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